Geometric Deep Learning

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=D3fnGG7cdjY

Geometric Deep Learning is able to draw insights from graph data. That includes social networks, sensor networks, the entire Internet, and even 3D Objects (if we consider point cloud data to be a graph). I'll explain how it works via a demo of me using a graph convolutional network to classify people by their interest in sports teams as well as a 3D object classification demo. At its core, it comes down to being able to learn from non-Euclidean data. Euclid's laws help define certain types of data, so I'll cover some geometry background as well. Enjoy! • Code for this video: • https://github.com/llSourcell/pytorch... • Please Subscribe! And Like. And comment. Thats what keeps me going. • Want more education? Connect with me here: • Twitter: / sirajraval • instagram: / sirajraval • Facebook: / sirajology • More learning resources: • http://sungsoo.github.io/2018/02/01/g... • http://geometricdeeplearning.com/ • https://arxiv.org/abs/1611.08097 • http://3ddl.stanford.edu/CVPR17_Tutor... • https://github.com/rusty1s/pytorch_ge... • https://pemami4911.github.io/paper-su... • Join us at the School of AI: • • Join us in the Wizards Slack channel: • http://wizards.herokuapp.com/ • Please support me on Patreon: • https://www.patreon.com/user?u=3191693 • Signup for my newsletter for exciting updates in the field of AI: • https://goo.gl/FZzJ5w • Hiring? Need a Job? See our job board!: • https://www.theschool.ai/jobs/ • Need help on a project? See our consulting group: • https://www.theschool.ai/consulting-g... • Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz

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